What characterizes structured data?

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Structured data is characterized by its organization in predefined rows and columns, making it easily searchable and analyzable. This format is commonly seen in databases and spreadsheets, where data entries have a consistent structure that allows for efficient data management and querying. Each field within the data set is associated with a specific data type, which aids tools in processing the information seamlessly.

In contrast, data that does not follow any format tends to be unstructured, making it difficult to analyze or sort. Additionally, while text, audio, and video are types of unstructured data, structured data is primarily numerical or categorical and is not typically composed of these formats. Lastly, structured data is quantifiable and can be easily measured, which allows for statistical analysis and operations, unlike unquantifiable options. Thus, the defining feature of structured data lies in its organized format, allowing for clarity and streamlined data handling.